CN112351262B - Intelligent community monitoring system based on AI image attribute identification - Google Patents

Intelligent community monitoring system based on AI image attribute identification Download PDF

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CN112351262B
CN112351262B CN202110023102.5A CN202110023102A CN112351262B CN 112351262 B CN112351262 B CN 112351262B CN 202110023102 A CN202110023102 A CN 202110023102A CN 112351262 B CN112351262 B CN 112351262B
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CN112351262A (en
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芮国荣
万志伟
张静
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Jiangsu Wanbei Technology Co ltd
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    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract

The invention discloses an intelligent community monitoring system based on AI image attribute identification, which comprises a community monitoring system and a home monitoring system, wherein the community monitoring system comprises a road monitoring module and a security personnel operating terminal; the community monitoring system is used for monitoring the activity condition of people in a community range, the household monitoring system is used for detecting the conditions in and around a residential house, the road monitoring module is used for monitoring the condition of a road, the security personnel operating terminal is used for informing security personnel to take corresponding timely measures, and the indoor monitoring module is used for monitoring the condition of the residential house.

Description

Intelligent community monitoring system based on AI image attribute identification
Technical Field
The invention relates to the technical field of household entrance guard, in particular to an intelligent community monitoring system based on AI image attribute identification.
Background
AI portrait identification is one of the advanced technologies adopted by home access control. The method utilizes a local database to carry out portrait input and face feature analysis, and the portrait input and the face feature analysis serve as the basis for personnel to enter.
The camera of the existing face recognition system and the analysis module connected with the camera are monitored and analyzed in real time, so that a large amount of computing power can be wasted, and the acquisition cost of the camera is required. Therefore, it is necessary to design an intelligent community monitoring system based on AI image attribute identification, which saves calculation power.
Disclosure of Invention
The invention aims to provide an intelligent community monitoring system based on AI image attribute identification, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent community monitoring system based on AI image attribute identification comprises a community monitoring system and a home monitoring system, wherein the community monitoring system comprises a road monitoring module and a security personnel operating end, the home monitoring system comprises an indoor monitoring module and a resident mobile phone end, the security personnel operating end is electrically connected with the road monitoring module, and the resident mobile phone end is electrically connected with the indoor monitoring module;
the community monitoring system is used for monitoring the activity condition of people in a community range, the household monitoring system is used for detecting the conditions in and around a residential house, the road monitoring module is used for monitoring the condition of a road, the security personnel operating end is used for informing security personnel to take corresponding timely measures, and the indoor monitoring module is used for monitoring the condition of the residential house.
According to the technical scheme, the road monitoring module comprises an infrared sensing unit, a low-resolution camera unit, a high-resolution camera unit, an image analysis submodule, a wake-up submodule, an image signal receiving and transmitting submodule and an operation distribution submodule, wherein the wake-up submodule and the image signal receiving and transmitting submodule are respectively and electrically connected with the high-resolution camera unit, and the image signal receiving and transmitting submodule is electrically connected with an operation end of security personnel;
the intelligent monitoring system comprises an infrared sensing unit, a low-resolution camera shooting unit, a high-resolution camera shooting unit, an image analysis submodule, a wake-up submodule and an operation distribution submodule, wherein the infrared sensing unit is used for sensing whether a living object exists in a front monitoring area, the low-resolution camera shooting unit is used for monitoring the rough condition of a road, the high-resolution camera shooting unit is used for monitoring the precise condition of the road, the image analysis submodule is used for analyzing image signals, the wake-up submodule is used for waking up the two camera shooting units, the image signal receiving and sending submodule is used for receiving and sending image signals of other road monitoring modules in a community.
According to the technical scheme, the road monitoring module comprises the following specific steps in working:
s0, arranging road monitoring modules in each region of a community street, and distributing high-resolution camera units with different computing capabilities according to the direct proportion of the average personnel flow amount;
s1, starting the infrared sensing unit, and scanning whether living objects exist in a larger sensing area in real time, wherein the low-resolution camera unit and the high-resolution camera unit are in a dormant state, and the overall power consumption is lowest;
s2, when a living object appears in the induction area, starting a low-resolution camera shooting unit, shooting a small monitoring area in front, analyzing the image, and keeping the overall power consumption to be moderate;
s3, when the stay time of the living objects in the monitoring area exceeds a set value, starting a high-resolution camera shooting unit, starting a face recognition function, analyzing face information, and enabling the overall power consumption to be highest;
and S4, sending the high-resolution image information to other road monitoring modules which are not subjected to high-resolution identification, distributing image processing information tasks according to respective computing capabilities, enabling the road monitoring modules to perform collaborative analysis, and sending the information to the security personnel operation end.
According to the above technical solution, in the above step S4, the image processing information task is assigned by the method,
s4-1, when the low resolution camera unit of the road monitoring module does not work, namely no living things appear in the sensing area, the image analysis submodule of the road monitoring module completely receives image processing information tasks of other road monitoring modules;
s4-2, when the low-resolution camera unit of the road monitoring module starts to work, namely when a living thing begins to appear in the induction area, the proportion of the low-resolution camera unit to take other image processing information tasks is reduced, the specific distribution mode is that the residual computing power for processing other information tasks in real time is reduced in proportion to the time of the living thing appearing, and until the high-resolution camera unit is triggered to work, the residual computing power is zero, specifically
Figure GDA0002965916250000041
Wherein A is the calculation power for processing other information tasks in real time, A0For the total power of operation, A1Computing power, t, occupied for processing information tasks by low-resolution camera elements0Time to trigger high resolution camera unit, t1The time spent for living things.
According to the technical scheme, the indoor monitoring module comprises a moving track judging module, an action analyzing module, an emergency call module and a pet food throwing training module, wherein the infrared sensing unit is electrically connected with the moving track judging module, and the pet food throwing training module is electrically connected with the action analyzing module;
the system comprises a moving track judging module, an action analyzing module, an emergency call module and a pet food throwing training module, wherein the moving track judging module is used for judging the moving track of the old people according to infrared sensing information, the action analyzing module is used for analyzing whether sudden change exists in the action of the old people, the emergency call module is used for carrying out call for help when an emergency occurs, and the pet food throwing training module is used for enabling the old people to throw food for pets in daily life to achieve the effect of exercise;
the movement track judging module comprises a body space positioning submodule and a speed analyzing submodule, the action analyzing module comprises a body contour judging submodule and an infrared imaging shape analyzing submodule, the body space positioning submodule is used for carrying out space positioning on the old man according to the infrared induction image position of the body, the speed analyzing submodule is used for analyzing the moving speed of the old man, and then whether the speed is different from the daily walking speed is judged, the body contour judging submodule is used for judging the body contour of the old man according to the infrared induction image area, and the infrared imaging shape analyzing submodule is used for judging whether the old man is normal according to the shape of the infrared contour.
According to the technical scheme, the pet feeding training module comprises a place selection module and a pet activity monitoring module, and the resident mobile phone end comprises a positioning module, a place marking module, a space fitting module and an instruction prompting module;
the pet food throwing system comprises a location selection module, a pet activity monitoring module, a positioning module, a location marking module, a space fitting module and an instruction prompting module, wherein the location selection module is used for determining a food throwing location by combining pet activity information, the pet activity monitoring module is used for detecting pet activity information, the positioning module is used for judging the position of a resident at home, the location marking module is used for marking the food throwing location in a monitoring area by utilizing an infrared induction image of a gesture, the space fitting module is used for fitting a movable space and a path of the home by combining the action track of the resident at home and the indoor monitoring condition, and the instruction prompting module is used for;
the pet activity monitoring module comprises a pet contour scanning submodule, a pet activity path marking submodule and an activity amount operator module, wherein the pet contour scanning submodule is used for scanning the body contour of the whole pet and is used as a basis for subsequent pet movement judgment, the pet activity path marking submodule is used for recording an action track according to the position of the pet scanned by infrared induction in the whole monitoring area, and the activity amount operator module is used for calculating the activity amount of the pet according to the action track.
According to the technical scheme, the indoor monitoring module is specifically divided into the following steps during working:
an operator takes out a resident mobile phone end to walk in a house, the resident mobile phone end changes along with the walking position, the range and the track of an indoor movable area are recorded according to the change, a gesture is made in a monitoring area, when the gesture of the operator is detected, the gesture is expressed as a food throwing place, and a home path and a food throwing place distribution map are fitted along with the movement track of the resident;
b, obtaining the daily activity of the pet according to the monitored activity condition of the pet in daily life, and determining the feeding amount and feeding places of the pet by adjustment, wherein if the daily activity of the pet is low, the feeding places are distributed far, and if the activity is high, the distance between every two feeding places is short;
and c, when the old is at home, the old can take out the pet feed by means of the instruction and put the pet feed in a feed putting specified place, when the old walks along the feeding path, the old can judge whether the daily behavior has sudden changes by means of the motion analysis module and judge whether the abnormal behavior condition exists by means of the movement track judgment module, and the old can be monitored in real time when the old falls down or breaks down suddenly.
According to the technical scheme, in the step b, the indoor monitoring work is carried out by adopting the low-resolution camera unit under the normal condition, and if the infrared sensing module judges that the old people do not move for a long time or the actions are abnormal, the high-resolution work is triggered, the old people are observed at high resolution, and the mobile phone end of the resident is reminded to watch.
According to the technical scheme, the community monitoring system further comprises a security personnel rating module and a malignant event value evaluation module, wherein the malignant event value evaluation module comprises an event influence evaluation submodule and an event frequency recording submodule, the security personnel operation end is electrically connected with the event frequency recording submodule and the event influence evaluation submodule, the security personnel rating module comprises a response speed evaluation submodule, a processing speed evaluation submodule and a degree of adequacy evaluation submodule, and the response time evaluation submodule and the processing speed evaluation submodule are electrically connected with the image analysis submodule;
the system comprises a malignant event value evaluation module, a security personnel rating module, an event influence evaluation submodule, an event frequency recording submodule, a response speed evaluation submodule, a processing speed evaluation submodule and a adequacy evaluation submodule, wherein the malignant event value evaluation module is used for evaluating comprehensive indexes of malignant events occurring in all cells in a specified area, the security personnel rating module is used for rating the capability of security personnel for handling the malignant events, the event influence evaluation submodule is used for evaluating the personnel property loss degree of the malignant events, the event frequency recording submodule is used for recording the frequency of the malignant events, the response speed evaluation submodule is used for evaluating the speed of the security personnel reaching the scene when the event occurs by combining time and the distance between the security personnel and the scene of the event, the processing speed evaluation submodule is used for evaluating the speed of the security personnel processing the event.
According to the technical scheme, the malignant event value evaluation module works by the specific steps of,
s5, when the malignant event happens, the security personnel detects and develops the action, records the times and the influence of the malignant event, and evaluates the malignancy within the specified time tValue E, in particular
Figure GDA0002965916250000071
Wherein n is the occurrence frequency of various malignant events, n is more than or equal to 0, e is the casualty degree and the property loss degree e of each malignant event, D is the number of residents in a cell, and D is more than or equal to 0;
and S6, when an event occurs, the security personnel know the time of the event and quickly drive to the scene, the image analysis module is used for judging whether the security personnel arrive at the scene, and the response speed evaluation submodule is used for evaluating the speed of the security personnel arriving at the scene at the time of the event.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, by arranging the community monitoring system and the home monitoring system, various conditions of communities, families and garages can be detected, and the cameras with proper computing capability are distributed according to the pedestrian flow of each street, so that the overall camera acquisition cost is saved.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides the technical scheme that: an intelligent community monitoring system based on AI image attribute identification comprises a community monitoring system and a home monitoring system, wherein the community monitoring system comprises a road monitoring module and a security personnel operating end, the home monitoring system comprises an indoor monitoring module and a resident mobile phone end, the security personnel operating end is electrically connected with the road monitoring module, and the resident mobile phone end is electrically connected with the indoor monitoring module;
the system comprises a community monitoring system, a home monitoring system, a road monitoring module, a security personnel operating end, an indoor monitoring module and a security personnel operating end, wherein the community monitoring system is used for monitoring the activity condition of personnel in a community range, the home monitoring system is used for detecting the conditions in and around a residential house, the road monitoring module is used for monitoring the condition of a road, the security personnel operating end is used for informing the security personnel to take corresponding timely measures, the indoor monitoring module is used for monitoring the condition in the residential house, the condition in the residential house can be checked in real time when the system is used, the security personnel can check the;
the road monitoring module comprises an infrared sensing unit, a low-resolution camera unit, a high-resolution camera unit, an image analysis submodule, a wake-up submodule, an image signal receiving and sending submodule and an operation distribution submodule, wherein the wake-up submodule and the image signal receiving and sending submodule are respectively and electrically connected with the high-resolution camera unit, and the image signal receiving and sending submodule is electrically connected with an operation end of security personnel;
the system comprises an infrared sensing unit, a low-resolution camera unit, a high-resolution camera unit, an image analysis submodule, a wake-up submodule, an image signal transceiving submodule and an operation distribution submodule, wherein the infrared sensing unit is used for sensing whether living objects exist in a front monitoring area or not, the low-resolution camera unit is used for monitoring the rough condition of a road, the high-resolution camera unit is used for monitoring the precise condition of the road, the image analysis submodule is used for analyzing image signals, the wake-up submodule is used for waking up the two camera units, the image signal transceiving submodule is used for transceiving image signals to other road monitoring modules in;
the road monitoring module comprises the following specific steps in working:
s0, arranging road monitoring modules in each region of a community street, and distributing high-resolution camera units with different computing capabilities according to the direct proportion of the average personnel flow amount;
s1, starting the infrared sensing unit, and scanning whether living objects exist in a larger sensing area in real time, wherein the low-resolution camera unit and the high-resolution camera unit are in a dormant state, and the overall power consumption is lowest;
s2, when a living object appears in the induction area, starting a low-resolution camera shooting unit, shooting a small monitoring area in front, analyzing the image, and keeping the overall power consumption to be moderate;
s3, when the stay time of the living objects in the monitoring area exceeds a set value, starting a high-resolution camera shooting unit, starting a face recognition function, analyzing face information, and enabling the overall power consumption to be highest;
s4, sending the high-resolution image information to other road monitoring modules which are not subjected to high-resolution identification, distributing image processing information tasks according to respective computing capabilities, enabling the road monitoring modules to carry out collaborative analysis, and sending the information to an operation end of a security worker;
in the above step S4, the image processing information task is assigned by the method of,
s4-1, when the low resolution camera unit of the road monitoring module does not work, namely no living things appear in the sensing area, the image analysis submodule of the road monitoring module completely receives image processing information tasks of other road monitoring modules;
s4-2, when the low-resolution camera unit of the road monitoring module starts to work, namely when a living thing begins to appear in the induction area, the proportion of the low-resolution camera unit to take other image processing information tasks is reduced, the specific distribution mode is that the residual computing power for processing other information tasks in real time is reduced in proportion to the time of the living thing appearing, and the residual computing power is zero until the high-resolution camera unit is triggered to work, so that the computing power of the analysis module can be fully utilized, specifically, the computing power of the analysis module is fully utilized
Figure GDA0002965916250000101
Wherein A is the calculation power for processing other information tasks in real time, A0For the total power of operation, A1Computing power, t, occupied for processing information tasks by low-resolution camera elements0Time to trigger high resolution camera unit, t1The time spent for a living being;
the indoor monitoring module comprises a moving track judging module, an action analyzing module, an emergency call module and a pet feeding training module, the infrared sensing unit is electrically connected with the moving track judging module, and the pet feeding training module is electrically connected with the action analyzing module;
the system comprises a moving track judging module, a motion analysis module, an emergency call-for-help module, a pet feeding training module and a pet taking training module, wherein the moving track judging module is used for judging the moving track of the old people according to infrared sensing information, the motion analysis module is used for analyzing whether the motion of the old people has sudden change or not, the emergency call-for-help module is used for carrying out call-for-help processing in case of emergency, the pet feeding training module is used for enabling the old people to feed pets daily to achieve the exercise effect, the living alone old people and the pets are combined, the activity of the pets is improved, meanwhile, the old people are guaranteed to have enough activity every day, and whether the old people have health problems or not can;
the movement track judging module comprises a body space positioning submodule and a speed analyzing submodule, the action analyzing module comprises a body contour judging submodule and an infrared imaging shape analyzing submodule, the body space positioning submodule is used for carrying out space positioning on the old according to the infrared induction image position of the body, the speed analyzing submodule is used for analyzing the moving speed of the old, and further determining whether the walking speed is different from the daily walking speed, the body contour determining sub-module is used for determining the body contour of the old according to the infrared induction image area, the infrared imaging shape analyzing sub-module is used for determining whether the walking speed is normal according to the shape of the infrared contour, and analyzing the body contour of the daily walking, if the body of the old has diseases causing abnormal behavior gait, the diseases can be reflected on the infrared imaging shape analysis submodule so as to judge the health condition of the body;
the pet feeding training module comprises a place selection module and a pet activity monitoring module, and the resident mobile phone end comprises a positioning module, a place marking module, a space fitting module and an instruction prompting module;
the pet food throwing device comprises a place selection module, a pet activity monitoring module, a positioning module, a place marking module, a space fitting module and an instruction prompting module, wherein the place selection module is used for determining a food throwing place by combining pet activity information, the pet activity monitoring module is used for detecting pet activity information, the positioning module is used for judging the position of a resident in a home, the place marking module is used for marking the food throwing place in a monitoring area by utilizing an infrared induction image of a gesture, the space fitting module is used for fitting a movable space and a path in the home by combining a movement track of the resident in the home and an indoor monitoring condition, the instruction prompting module is used for prompting a food;
the pet activity monitoring module comprises a pet contour scanning submodule, a pet activity path marking submodule and an activity meter operator module, wherein the pet contour scanning submodule is used for scanning the body contour of the whole pet and is used as a basis for subsequent pet movement judgment, the pet activity path marking submodule is used for recording an action track according to the position of the pet scanned by infrared induction in the whole monitoring area, and the activity meter operator module is used for calculating the activity of the pet according to the action track;
when the indoor monitoring module works, the method specifically comprises the following steps:
an operator takes out a resident mobile phone end to walk in a house, the resident mobile phone end changes along with the walking position, the range and the track of an indoor movable area are recorded according to the change, a gesture is made in a monitoring area, when the gesture of the operator is detected, the gesture is expressed as a food throwing place, and a home path and a food throwing place distribution map are fitted along with the movement track of the resident;
b, obtaining the daily activity of the pet according to the monitored activity condition of the pet in daily life, and determining the feeding amount and feeding places of the pet by adjustment, wherein if the daily activity of the pet is low, the feeding places are distributed far, and if the activity is high, the distance between every two feeding places is short;
c, when the old people are at home, taking out pet feed by means of instructions and putting the pet feed in a feed putting specified place, when the old people walk on a feeding path, judging whether daily behaviors have sudden changes by means of the motion analysis module and judging whether abnormal behaviors exist by means of the movement track judgment module, monitoring the old people in real time when the old people fall down or have sudden acute diseases, adjusting different feeding schemes according to the home environment, and adapting to different home environments;
in the step b, a low-resolution camera unit is adopted to carry out indoor monitoring work under normal conditions, if the infrared sensing module judges that the old people do not move for a long time or act abnormally, high-resolution work is triggered, the old people are observed at high resolution, and the mobile phone end of a resident is reminded to watch, so that the power consumption of the old people can be reduced at ordinary times, the privacy of the old people is protected, the condition of the old people can be accurately checked when an emergency happens, and real-time feedback can be carried out;
the community monitoring system also comprises a security personnel rating module and a malignant event value evaluation module, wherein the malignant event value evaluation module comprises an event influence evaluation submodule and an event frequency recording submodule, a security personnel operation end is electrically connected with the event frequency recording submodule and the event influence evaluation submodule, the security personnel rating module comprises a response speed evaluation submodule, a processing speed evaluation submodule and a degree of adequacy evaluation submodule, and the response time evaluation submodule and the processing speed evaluation submodule are electrically connected with the image analysis submodule;
the system comprises a malignant event value evaluation module, a security personnel evaluation module, an event influence evaluation submodule, an event frequency recording submodule, a response speed evaluation submodule, a processing speed evaluation submodule and a goodness evaluation submodule, wherein the malignant event value evaluation module is used for evaluating comprehensive indexes of malignant events occurring in all cells in a specified area, the security personnel evaluation module is used for evaluating the capability of security personnel for dealing with the malignant events, the event influence evaluation submodule is used for evaluating the personnel property loss degree of the malignant events, the event frequency recording submodule is used for recording the frequency of the malignant events, the response speed evaluation submodule is used for evaluating the speed of the security personnel reaching the site when the security personnel are sent out in combination with the distance between the security personnel and the site, the processing speed evaluation submodule is used for evaluating the speed of the security personnel for processing the events, and the goodness evaluation submodule is used for evaluating the whole security personnel;
the specific steps in which the malignancy value assessment module operates are,
s5, when the malignant event happens, the security personnel detects and develops the action, records the times and the influence of the malignant event, and evaluates the malignant value E in the specified time t, specifically the value
Figure GDA0002965916250000141
Wherein n is the occurrence frequency of various malignant events, n is more than or equal to 0, e is the casualty degree and the property loss degree e of each malignant event, D is the number of residents in a cell, and D is more than or equal to 0;
s6, when an event occurs, the security personnel know the time of the event and quickly drive to the scene, whether the security personnel arrive at the scene is judged through the image analysis module, meanwhile, the response speed evaluation submodule evaluates the speed of the security personnel arriving at the scene at the incident, the integral malignancy value under the condition of dynamic casualty degree is calculated through an integral method, and cumulative calculation is carried out within t, so that the malignancy value within a macroscopic range is obtained, the evaluation is more accurate and objective, and the safety index of a cell is evaluated by using a big data recording method and is used as an important basis for a resident to choose the environment.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. The utility model provides an intelligent community monitoring system based on AI image attribute discernment which characterized in that: the system comprises a community monitoring system and a home monitoring system, wherein the community monitoring system comprises a road monitoring module and a security personnel operating end, the home monitoring system comprises an indoor monitoring module and a resident mobile phone end, the security personnel operating end is electrically connected with the road monitoring module, and the resident mobile phone end is electrically connected with the indoor monitoring module;
the community monitoring system is used for monitoring the activity condition of people in a community range, the household monitoring system is used for detecting the conditions in and around a residential house, the road monitoring module is used for monitoring the condition of a road, the security personnel operating terminal is used for informing security personnel to take corresponding timely measures, and the indoor monitoring module is used for monitoring the condition of the residential house;
the road monitoring module comprises an infrared sensing unit, a low-resolution camera unit, a high-resolution camera unit, an image analysis submodule, a wake-up submodule, an image signal receiving and sending submodule and an operation distribution submodule, wherein the wake-up submodule and the image signal receiving and sending submodule are respectively and electrically connected with the high-resolution camera unit, and the image signal receiving and sending submodule is electrically connected with an operation end of a security worker;
the system comprises an infrared sensing unit, a low-resolution camera unit, a high-resolution camera unit, an image analysis submodule, a wake-up submodule, an image signal transceiving submodule and an operation distribution submodule, wherein the infrared sensing unit is used for sensing whether a living object exists in a front monitoring area, the low-resolution camera unit is used for monitoring the rough condition of a road, the high-resolution camera unit is used for monitoring the precise condition of the road, the image analysis submodule is used for analyzing an image signal, the wake-up submodule is used for waking up two camera units, the image signal transceiving submodule is used for transceiving an image signal to other road monitoring modules in a cell, and the operation distribution;
the road monitoring module comprises the following specific steps in working:
s0, arranging road monitoring modules in each region of a community street, and distributing high-resolution camera units with different computing capabilities according to the direct proportion of the average personnel flow amount;
s1, starting the infrared sensing unit, and scanning whether living objects exist in a larger sensing area in real time, wherein the low-resolution camera unit and the high-resolution camera unit are in a dormant state, and the overall power consumption is lowest;
s2, when a living object appears in the induction area, starting a low-resolution camera shooting unit, shooting a small monitoring area in front, analyzing the image, and keeping the overall power consumption to be moderate;
s3, when the stay time of the living objects in the monitoring area exceeds a set value, starting a high-resolution camera shooting unit, starting a face recognition function, analyzing face information, and enabling the overall power consumption to be highest;
s4, sending the high-resolution image information to other road monitoring modules which are not subjected to high-resolution identification, distributing image processing information tasks according to respective computing capabilities, enabling the road monitoring modules to carry out collaborative analysis, and sending the information to an operation end of a security worker;
in the above step S4, the image processing information task is assigned by the method of,
s4-1, when the low resolution camera unit of the road monitoring module does not work, namely no living things appear in the sensing area, the image analysis submodule of the road monitoring module completely receives image processing information tasks of other road monitoring modules;
s4-2, when the low-resolution camera unit of the road monitoring module starts to work, namely when a living thing begins to appear in the induction area, the proportion of the low-resolution camera unit to take other image processing information tasks is reduced, the specific distribution mode is that the residual computing power for processing other information tasks in real time is reduced in proportion to the time of the living thing appearing, and until the high-resolution camera unit is triggered to work, the residual computing power is zero, specifically
Figure FDA0002965916240000031
Wherein A is the calculation power for processing other information tasks in real time, A0For the total power of operation, A1Computing power, t, occupied for processing information tasks by low-resolution camera elements0Time to trigger high resolution camera unit, t1The time spent for living things.
2. The intelligent community monitoring system based on AI image attribute identification as claimed in claim 1, wherein: the indoor monitoring module comprises a moving track judging module, an action analyzing module, an emergency call module and a pet food throwing training module, the infrared sensing unit is electrically connected with the moving track judging module, and the pet food throwing training module is electrically connected with the action analyzing module;
the system comprises a moving track judging module, an action analyzing module, an emergency call module and a pet food throwing training module, wherein the moving track judging module is used for judging the moving track of the old people according to infrared sensing information, the action analyzing module is used for analyzing whether sudden change exists in the action of the old people, the emergency call module is used for carrying out call for help when an emergency occurs, and the pet food throwing training module is used for enabling the old people to throw food for pets in daily life to achieve the effect of exercise;
the movement track judging module comprises a body space positioning submodule and a speed analyzing submodule, the action analyzing module comprises a body contour judging submodule and an infrared imaging shape analyzing submodule, the body space positioning submodule is used for carrying out space positioning on the old man according to the infrared induction image position of the body, the speed analyzing submodule is used for analyzing the moving speed of the old man, and then whether the speed is different from the daily walking speed is judged, the body contour judging submodule is used for judging the body contour of the old man according to the infrared induction image area, and the infrared imaging shape analyzing submodule is used for judging whether the old man is normal according to the shape of the infrared contour.
3. The intelligent community monitoring system based on AI image attribute identification as claimed in claim 2, wherein: the pet feeding training module comprises a place selection module and a pet activity monitoring module, and the resident mobile phone end comprises a positioning module, a place marking module, a space fitting module and an instruction prompting module;
the pet food throwing system comprises a location selection module, a pet activity monitoring module, a positioning module, a location marking module, a space fitting module and an instruction prompting module, wherein the location selection module is used for determining a food throwing location by combining pet activity information, the pet activity monitoring module is used for detecting pet activity information, the positioning module is used for judging the position of a resident at home, the location marking module is used for marking the food throwing location in a monitoring area by utilizing an infrared induction image of a gesture, the space fitting module is used for fitting a movable space and a path of the home by combining the action track of the resident at home and the indoor monitoring condition, and the instruction prompting module is used for;
the pet activity monitoring module comprises a pet contour scanning submodule, a pet activity path marking submodule and an activity amount operator module, wherein the pet contour scanning submodule is used for scanning the body contour of the whole pet and is used as a basis for subsequent pet movement judgment, the pet activity path marking submodule is used for recording an action track according to the position of the pet scanned by infrared induction in the whole monitoring area, and the activity amount operator module is used for calculating the activity amount of the pet according to the action track.
4. The AI-image-attribute-recognition-based intelligent community monitoring system of claim 3, wherein: when the indoor monitoring module works, the method specifically comprises the following steps:
an operator takes out a resident mobile phone end to walk in a house, the resident mobile phone end changes along with the walking position, the range and the track of an indoor movable area are recorded according to the change, a gesture is made in a monitoring area, when the gesture of the operator is detected, the gesture is expressed as a food throwing place, and a home path and a food throwing place distribution map are fitted along with the movement track of the resident;
b, obtaining the daily activity of the pet according to the monitored activity condition of the pet in daily life, and determining the feeding amount and feeding places of the pet by adjustment, wherein if the daily activity of the pet is low, the feeding places are distributed far, and if the activity is high, the distance between every two feeding places is short;
and c, when the old is at home, the old can take out the pet feed by means of the instruction and put the pet feed in a feed putting specified place, when the old walks along the feeding path, the old can judge whether the daily behavior has sudden changes by means of the motion analysis module and judge whether the abnormal behavior condition exists by means of the movement track judgment module, and the old can be monitored in real time when the old falls down or breaks down suddenly.
5. The AI-image-attribute-recognition-based intelligent community monitoring system of claim 4, wherein: in the step b, the indoor monitoring work is carried out by adopting the low-resolution camera unit under the normal condition, and if the infrared sensing module judges that the old people do not move for a long time or the actions are abnormal, the high-resolution work is triggered, the old people are observed at high resolution, and the mobile phone terminal of the resident is reminded to watch.
6. The AI-image-attribute-recognition-based intelligent community monitoring system of claim 5, wherein: the community monitoring system also comprises a security personnel rating module and a malignant event value evaluation module, wherein the malignant event value evaluation module comprises an event influence evaluation submodule and an event frequency recording submodule, the security personnel operation end is electrically connected with the event frequency recording submodule and the event influence evaluation submodule, the security personnel rating module comprises a response speed evaluation submodule, a processing speed evaluation submodule and a degree of adequacy evaluation submodule, and the response time evaluation submodule and the processing speed evaluation submodule are electrically connected with the image analysis submodule;
the system comprises a malignant event value evaluation module, a security personnel rating module, an event influence evaluation submodule, an event frequency recording submodule, a response speed evaluation submodule, a processing speed evaluation submodule and a adequacy evaluation submodule, wherein the malignant event value evaluation module is used for evaluating comprehensive indexes of malignant events occurring in all cells in a specified area, the security personnel rating module is used for rating the capability of security personnel for handling the malignant events, the event influence evaluation submodule is used for evaluating the personnel property loss degree of the malignant events, the event frequency recording submodule is used for recording the frequency of the malignant events, the response speed evaluation submodule is used for evaluating the speed of the security personnel reaching the scene when the event occurs by combining time and the distance between the security personnel and the scene of the event, the processing speed evaluation submodule is used for evaluating the speed of the security personnel processing the event.
7. The AI-image-attribute-recognition-based intelligent community monitoring system of claim 6, wherein: the malignancy value assessment module operates by the specific steps of,
s5, when the malignant event happens, the security personnel detects and develops the action, records the times and the influence of the malignant event, and evaluates the malignant value E in the specified time t, specifically the value
Figure FDA0002965916240000061
Wherein n is the occurrence frequency of various malignant events, n is more than or equal to 0, e is the casualty degree and the property loss degree e of each malignant event, D is the number of residents in a cell, and D is more than or equal to 0;
and S6, when an event occurs, the security personnel know the time of the event and quickly drive to the scene, the image analysis module is used for judging whether the security personnel arrive at the scene, and the response speed evaluation submodule is used for evaluating the speed of the security personnel arriving at the scene at the time of the event.
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